The Max Planck Institute for Intelligent Systems (MPI-IS) conducts research to understand the principles of perception, action, and learning in natural and artificial systems that successfully interact with complex environments.
MachOptima is a spin-off team from the Max Planck Institute for Intelligent Systems that focuses on developing AI-based industrial optimization tools that help businesses enhance resource efficiency, reduce waste, and quickly adapt to technological advancements. We are looking for a
We are currently expanding our technical team and seeking a motivated student assistant who is enthusiastic about AI, automation, and research-to-application workflows. As a student assistant, you will contribute to the development and maintenance of our software stack, research tools, and infrastructure.
The ideal applicant should have:
It is a plus if you have:
Students without a bachelor's degree will be paid 13.80€ per hour. Students with a bachelor’s degree will be paid 14.40€ per hour. Working time: up to 10 hours per week. The contract is given per semester.
You can expect a modern workplace in an international environment with regular opportunities for further personal and professional growth.
To apply, please submit a CV, a short motivation letter describing why you are interested in this position, and optionally other documentation to demonstrate your background. Please prepare these documents in English and upload them as one PDF file to our application portal.
For further questions please email Mr. Sinan Özgün Demir at sinandemir@is.mpg.de.
The position will be open until filled.
The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. The Max Planck Society strives for gender equality and diversity. Furthermore, the Max Planck Society seeks to increase the number of women in its workforce in those areas where they are underrepresented and therefore explicitly encourages women to apply.